2021
DOI: 10.1109/access.2021.3098303
|View full text |Cite
|
Sign up to set email alerts
|

Robust Formation Control Based on Leader-Following Consensus in Multi-Agent Systems With Faults in the Information Exchange: Application in a Fleet of Unmanned Aerial Vehicles

Abstract: In this paper, a robust leader-following consensus protocol for multi-agent systems (MASs) subject to faults in the information exchange and disturbance is presented. The problem under consideration is to guarantee the convergence of the agent trajectories to a leader agent when all the agent followers are under faults in the information exchange as smooth time-varying delays and disturbances. The main contribution in this paper is the design of a robust leader-following control through the Lyapunov approach a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3
2

Relationship

1
4

Authors

Journals

citations
Cited by 10 publications
(2 citation statements)
references
References 59 publications
0
2
0
Order By: Relevance
“…These oscillations are generally caused by bad tuning of the control parameters, or by communication delay between agents. In this sense, some recent studies are trying to attenuate this unintended effect, [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…These oscillations are generally caused by bad tuning of the control parameters, or by communication delay between agents. In this sense, some recent studies are trying to attenuate this unintended effect, [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…It is therefore necessary to consider these exogenous inputs in the dynamic modeling of the multi-agent system in order to be able to develop a robust control of these external disturbances and measurement noise. This is why it is essential to add robustness to the distributed control and observer because external disturbance (and sensor noise) affect their performance [3]. Different works in the literature have addressed this problem.…”
Section: Introductionmentioning
confidence: 99%